Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "89"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 89 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 60 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 58 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 89, Node N09:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459875 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.060115 -0.246336 -0.613306 0.738146 -0.397888 -0.728530 -0.938582 -0.775884 0.0605 0.0660 0.0069 nan nan
2459874 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459873 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.400574 0.061489 -0.568471 0.352055 0.535610 -0.719466 -0.938936 -0.716482 0.7133 0.6948 0.3652 nan nan
2459872 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.392589 0.155634 -0.095851 0.165404 0.014998 -0.627437 -0.693606 -0.911499 0.0610 0.0612 0.0070 nan nan
2459871 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.015682 -0.212611 -0.693333 0.430241 -0.814042 -0.760448 -0.553827 -0.863676 0.0728 0.0757 0.0081 nan nan
2459870 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.082285 0.133838 -0.607206 0.363387 0.644160 -0.498039 -0.943315 -1.087601 0.7193 0.7040 0.3696 nan nan
2459869 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.855431 0.969831 -0.403443 0.411687 -0.596254 -0.857053 -0.764976 -1.201690 0.7273 0.7196 0.3611 nan nan
2459868 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.981387 -0.089938 -0.900662 0.219853 0.482825 -0.468472 -0.777028 -0.947980 0.7098 0.6952 0.3808 nan nan
2459867 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.510082 0.005838 -0.647230 0.038564 0.299939 -0.452574 -0.317390 -0.737744 0.7193 0.7001 0.3814 nan nan
2459866 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.495302 0.149263 -0.670587 0.623855 0.250616 0.049900 -0.914215 -1.176551 0.7190 0.7020 0.3758 nan nan
2459865 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.480224 -0.022863 0.158862 -0.021474 0.399642 -0.535243 -0.861694 -0.801804 0.0648 0.0684 0.0074 nan nan
2459864 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.995359 -0.957507 1.710031 -0.069634 0.207014 -0.845589 -0.920376 -0.408937 0.7194 0.6991 0.3910 nan nan
2459863 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.266517 0.609515 -1.428332 -0.658475 1.340016 1.019189 -0.750624 -0.544492 0.7120 0.6877 0.3880 nan nan
2459862 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.469327 0.302240 2.504216 0.166009 -0.244122 -0.626261 -0.728021 -0.853399 0.6965 0.7182 0.4004 nan nan
2459861 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.013081 0.811201 -1.255216 -0.397948 1.084203 1.009397 -0.561008 -0.639330 0.7236 0.7004 0.3944 nan nan
2459860 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 1.271642 0.738502 1.673570 0.280680 -0.108998 -0.439871 -0.489730 -0.951438 0.7327 0.7016 0.3902 nan nan
2459859 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.933887 0.584450 -1.155891 -0.365579 0.959599 0.663482 -0.594844 -0.642121 0.7344 0.7031 0.3913 nan nan
2459858 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.109069 0.995583 -1.308015 -0.543264 1.634352 1.386924 -0.712095 -0.647031 0.7463 0.7102 0.3983 3.371354 2.741658
2459857 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.726470 -0.395953 -2.453795 -2.614812 -0.277724 -0.012195 -0.333028 -0.689235 0.0287 0.0273 0.0009 nan nan
2459856 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.956824 0.870180 1.385366 0.398200 -0.015492 -0.700002 -1.139359 -1.124578 0.7402 0.7245 0.3829 3.504468 2.722138
2459855 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.953431 0.852020 1.573087 0.281696 0.364390 -0.971284 -0.956366 -1.118232 0.7239 0.7378 0.4115 3.105707 2.579076
2459854 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.004598 0.011489 2.168421 0.174373 0.066138 -0.631073 -1.005391 -1.048633 0.7403 0.7472 0.4218 3.122129 2.628770
2459853 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.656020 0.055637 3.273180 0.384694 0.585449 -0.921524 -0.977071 -0.950941 0.7614 0.7039 0.4108 4.082809 3.014726
2459852 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.084589 0.424190 3.771635 0.338522 0.817938 -0.988367 2.767172 -0.373281 0.8533 0.8508 0.2182 5.905795 4.949331
2459850 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.498224 -0.014990 3.178181 0.285169 0.552394 -0.467302 -0.824107 -1.010232 0.7663 0.7685 0.3346 3.918418 2.874043
2459849 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.119796 0.278147 6.848617 1.018258 1.261525 -0.085367 -0.704294 -1.026167 0.7641 0.7613 0.3425 4.349356 3.371089
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.613723 0.315615 8.506839 2.210089 1.054987 0.202478 -0.692558 -0.892803 0.7502 0.7562 0.3661 4.473089 3.030214
2459847 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.917258 0.268804 8.600807 1.963661 -0.333483 1.522328 -0.838572 -1.006085 0.7503 0.6901 0.4251 6.639032 4.269575
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.000400 0.524591 7.261464 2.002596 -0.135824 0.191066 -0.874323 -0.421131 0.8583 0.6907 0.4724 3.359310 2.589088
2459845 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 388.611999 388.545622 inf inf 7931.099459 7826.840117 7634.443352 7302.348639 nan nan nan 0.000000 0.000000
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459842 RF_maintenance 100.00% 0.00% 0.00% 100.00% 100.00% 0.00% 3.854725 1.989945 -2.655975 -1.551600 3.068445 1.283625 -0.329848 -0.115693 0.5231 0.5282 -0.1662 5.115327 6.572395
2459841 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459840 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.155540 -0.150777 1.159810 1.859852 0.355214 -0.599158 0.758915 -2.008197 0.0529 0.0439 0.0147 nan nan
2459839 RF_maintenance 100.00% - - - - - -0.594975 -0.482511 15.255179 16.448904 0.692419 -0.151954 2.393264 -1.990223 nan nan nan nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 89: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.060115 1.060115 -0.246336 -0.613306 0.738146 -0.397888 -0.728530 -0.938582 -0.775884

Antenna 89: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 89: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.400574 1.400574 0.061489 -0.568471 0.352055 0.535610 -0.719466 -0.938936 -0.716482

Antenna 89: 2459872

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.392589 0.155634 1.392589 0.165404 -0.095851 -0.627437 0.014998 -0.911499 -0.693606

Antenna 89: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.015682 -0.212611 1.015682 0.430241 -0.693333 -0.760448 -0.814042 -0.863676 -0.553827

Antenna 89: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 2.082285 2.082285 0.133838 -0.607206 0.363387 0.644160 -0.498039 -0.943315 -1.087601

Antenna 89: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.855431 1.855431 0.969831 -0.403443 0.411687 -0.596254 -0.857053 -0.764976 -1.201690

Antenna 89: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.981387 1.981387 -0.089938 -0.900662 0.219853 0.482825 -0.468472 -0.777028 -0.947980

Antenna 89: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.510082 1.510082 0.005838 -0.647230 0.038564 0.299939 -0.452574 -0.317390 -0.737744

Antenna 89: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.495302 0.149263 1.495302 0.623855 -0.670587 0.049900 0.250616 -1.176551 -0.914215

Antenna 89: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.480224 1.480224 -0.022863 0.158862 -0.021474 0.399642 -0.535243 -0.861694 -0.801804

Antenna 89: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 1.710031 -0.957507 0.995359 -0.069634 1.710031 -0.845589 0.207014 -0.408937 -0.920376

Antenna 89: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Temporal Variability 1.340016 1.266517 0.609515 -1.428332 -0.658475 1.340016 1.019189 -0.750624 -0.544492

Antenna 89: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 2.504216 1.469327 0.302240 2.504216 0.166009 -0.244122 -0.626261 -0.728021 -0.853399

Antenna 89: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Temporal Variability 1.084203 0.811201 1.013081 -0.397948 -1.255216 1.009397 1.084203 -0.639330 -0.561008

Antenna 89: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 1.673570 1.271642 0.738502 1.673570 0.280680 -0.108998 -0.439871 -0.489730 -0.951438

Antenna 89: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Temporal Variability 0.959599 0.933887 0.584450 -1.155891 -0.365579 0.959599 0.663482 -0.594844 -0.642121

Antenna 89: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Temporal Variability 1.634352 0.995583 1.109069 -0.543264 -1.308015 1.386924 1.634352 -0.647031 -0.712095

Antenna 89: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance nn Temporal Variability -0.012195 -0.395953 -0.726470 -2.614812 -2.453795 -0.012195 -0.277724 -0.689235 -0.333028

Antenna 89: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.956824 1.956824 0.870180 1.385366 0.398200 -0.015492 -0.700002 -1.139359 -1.124578

Antenna 89: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 1.953431 0.852020 1.953431 0.281696 1.573087 -0.971284 0.364390 -1.118232 -0.956366

Antenna 89: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 2.168421 0.011489 2.004598 0.174373 2.168421 -0.631073 0.066138 -1.048633 -1.005391

Antenna 89: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 3.273180 0.055637 1.656020 0.384694 3.273180 -0.921524 0.585449 -0.950941 -0.977071

Antenna 89: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 3.771635 2.084589 0.424190 3.771635 0.338522 0.817938 -0.988367 2.767172 -0.373281

Antenna 89: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 3.178181 1.498224 -0.014990 3.178181 0.285169 0.552394 -0.467302 -0.824107 -1.010232

Antenna 89: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 6.848617 2.119796 0.278147 6.848617 1.018258 1.261525 -0.085367 -0.704294 -1.026167

Antenna 89: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 8.506839 0.315615 1.613723 2.210089 8.506839 0.202478 1.054987 -0.892803 -0.692558

Antenna 89: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 8.600807 0.268804 1.917258 1.963661 8.600807 1.522328 -0.333483 -1.006085 -0.838572

Antenna 89: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Power 7.261464 2.000400 0.524591 7.261464 2.002596 -0.135824 0.191066 -0.874323 -0.421131

Antenna 89: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance nn Power inf 388.545622 388.611999 inf inf 7826.840117 7931.099459 7302.348639 7634.443352

Antenna 89: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 89: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 89: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape 3.854725 3.854725 1.989945 -2.655975 -1.551600 3.068445 1.283625 -0.329848 -0.115693

Antenna 89: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 89: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance nn Power 1.859852 -0.155540 -0.150777 1.159810 1.859852 0.355214 -0.599158 0.758915 -2.008197

Antenna 89: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
89 N09 RF_maintenance nn Power 16.448904 -0.482511 -0.594975 16.448904 15.255179 -0.151954 0.692419 -1.990223 2.393264
In [ ]: